E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time
In the first hours of a disaster, up-to-date information about the area of interest is crucial for effective disaster management. However, due to the delay induced by collecting and analysing satellite imagery, disaster management systems like the Copernicus Emergency Management Service (EMS) are cu...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/12/2766 |
| _version_ | 1817991872944013312 |
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| author | Clemens Havas Bernd Resch Chiara Francalanci Barbara Pernici Gabriele Scalia Jose Luis Fernandez-Marquez Tim Van Achte Gunter Zeug Maria Rosa (Rosy) Mondardini Domenico Grandoni Birgit Kirsch Milan Kalas Valerio Lorini Stefan Rüping |
| author_facet | Clemens Havas Bernd Resch Chiara Francalanci Barbara Pernici Gabriele Scalia Jose Luis Fernandez-Marquez Tim Van Achte Gunter Zeug Maria Rosa (Rosy) Mondardini Domenico Grandoni Birgit Kirsch Milan Kalas Valerio Lorini Stefan Rüping |
| author_sort | Clemens Havas |
| collection | DOAJ |
| description | In the first hours of a disaster, up-to-date information about the area of interest is crucial for effective disaster management. However, due to the delay induced by collecting and analysing satellite imagery, disaster management systems like the Copernicus Emergency Management Service (EMS) are currently not able to provide information products until up to 48–72 h after a disaster event has occurred. While satellite imagery is still a valuable source for disaster management, information products can be improved through complementing them with user-generated data like social media posts or crowdsourced data. The advantage of these new kinds of data is that they are continuously produced in a timely fashion because users actively participate throughout an event and share related information. The research project Evolution of Emergency Copernicus services (E2mC) aims to integrate these novel data into a new EMS service component called Witness, which is presented in this paper. Like this, the timeliness and accuracy of geospatial information products provided to civil protection authorities can be improved through leveraging user-generated data. This paper sketches the developed system architecture, describes applicable scenarios and presents several preliminary case studies, providing evidence that the scientific and operational goals have been achieved. |
| first_indexed | 2024-04-14T01:18:40Z |
| format | Article |
| id | doaj.art-cd59687e97164ffeb62f6c35ee3cf9ec |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:18:40Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cd59687e97164ffeb62f6c35ee3cf9ec2022-12-22T02:20:45ZengMDPI AGSensors1424-82202017-11-011712276610.3390/s17122766s17122766E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real TimeClemens Havas0Bernd Resch1Chiara Francalanci2Barbara Pernici3Gabriele Scalia4Jose Luis Fernandez-Marquez5Tim Van Achte6Gunter Zeug7Maria Rosa (Rosy) Mondardini8Domenico Grandoni9Birgit Kirsch10Milan Kalas11Valerio Lorini12Stefan Rüping13Department of Geoinformatics–Z_GIS, University of Salzburg, Schillerstrasse 30, 5020 Salzburg, AustriaDepartment of Geoinformatics–Z_GIS, University of Salzburg, Schillerstrasse 30, 5020 Salzburg, AustriaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20131 Milano, ItalyDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20131 Milano, ItalyDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20131 Milano, ItalyCitizen Cyberlab, Centre Universitaire d’Informatique (CUI), University of Geneva, route de Drize CH-1227 Carouge, SwitzerlandPM Risk Crisis Change, K. M. Hendrikaplein 57, 9000 Ghent, BelgiumTerranea, Bahnhofstr. 120, 82269 Geltendorf, GermanyCitizen Cyberlab, Centre Universitaire d’Informatique (CUI), University of Geneva, route de Drize CH-1227 Carouge, Switzerlande-GEOS S.p.A, Via Tiburtina 965, 00156, Rome, ItalyFraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, 53757 Sankt Augustin, GermanyKAJO s. r. o., Sladkovicova 228/8, 01401 Bytca, SlovakiaKAJO s. r. o., Sladkovicova 228/8, 01401 Bytca, SlovakiaFraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, 53757 Sankt Augustin, GermanyIn the first hours of a disaster, up-to-date information about the area of interest is crucial for effective disaster management. However, due to the delay induced by collecting and analysing satellite imagery, disaster management systems like the Copernicus Emergency Management Service (EMS) are currently not able to provide information products until up to 48–72 h after a disaster event has occurred. While satellite imagery is still a valuable source for disaster management, information products can be improved through complementing them with user-generated data like social media posts or crowdsourced data. The advantage of these new kinds of data is that they are continuously produced in a timely fashion because users actively participate throughout an event and share related information. The research project Evolution of Emergency Copernicus services (E2mC) aims to integrate these novel data into a new EMS service component called Witness, which is presented in this paper. Like this, the timeliness and accuracy of geospatial information products provided to civil protection authorities can be improved through leveraging user-generated data. This paper sketches the developed system architecture, describes applicable scenarios and presents several preliminary case studies, providing evidence that the scientific and operational goals have been achieved.https://www.mdpi.com/1424-8220/17/12/2766social mediacrowdsourcinggeospatial analysismachine learningimage classificationgeolocation3D reconstructionarchitecturedisaster managementnear real time |
| spellingShingle | Clemens Havas Bernd Resch Chiara Francalanci Barbara Pernici Gabriele Scalia Jose Luis Fernandez-Marquez Tim Van Achte Gunter Zeug Maria Rosa (Rosy) Mondardini Domenico Grandoni Birgit Kirsch Milan Kalas Valerio Lorini Stefan Rüping E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time Sensors social media crowdsourcing geospatial analysis machine learning image classification geolocation 3D reconstruction architecture disaster management near real time |
| title | E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time |
| title_full | E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time |
| title_fullStr | E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time |
| title_full_unstemmed | E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time |
| title_short | E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time |
| title_sort | e2mc improving emergency management service practice through social media and crowdsourcing analysis in near real time |
| topic | social media crowdsourcing geospatial analysis machine learning image classification geolocation 3D reconstruction architecture disaster management near real time |
| url | https://www.mdpi.com/1424-8220/17/12/2766 |
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